A Hilbert Space Approach to Variance Reduction
10Szechtman.pdf (271.3Kb)Abstract
In this chapter we explain variance reduction techniques from the Hilbert space standpoint, in the terminating simulation context. We use projection ideas to explain how variance is reduced, and to link different variance reduction techniques. Our focus is on the methods of control variates, conditional Monte Carlo, weighted Monte Carlo, stratification, and Latin hypercube sampling.
Description
Elsevier Handbooks in Operations Research and Management Science: Simulation, pp 259-289.
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defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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